обновлено 2 месяца назад
Senior Data Scientist (Marketing)
67 700 - 91 500€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Marketing) (Bayesian MMM, Python): Building and scaling predictive, econometric, and statistical models that measure marketing impact and quantify user value with an accent on Bayesian Media Mix Models, causal inference, and production-grade data products. Focus on automating model validation and health monitoring, developing self-healing model capabilities, and translating complex outputs into strategic business decisions.
Location: Hybrid work with 2 recommended office days per week; remote work is available under 's workation policy for up to 90 days per year in the EU, including up to 21 days globally, and 21 days worldwide for non-EU citizens.
Salary: €67,700–€91,500 gross annually, excluding 8% holiday pay.
Company
is a second-hand marketplace founded in Lithuania, with marketplace, shipping, and payments business units serving members across Europe and beyond.
What you will do
- Develop, calibrate, and scale Bayesian Media Mix Models and ROI frameworks for marketing measurement.
- Build and maintain econometric, statistical, user value, GMV, and engagement models.
- Design automated model validation, reliability metrics, and health-monitoring frameworks.
- Develop intelligent data products, including self-healing models, using AI and automation.
- Partner with decision scientists and marketing leaders to connect model outputs with business decisions.
- Maintain rigorous standards for code quality, validation, reproducibility, and model reliability.
Requirements
- Hands-on experience with advanced statistical, econometric, or time-series modelling.
- Strong knowledge of advanced statistics, causal inference, and regression.
- High proficiency in Python and experience building modular, reproducible, production-grade data products.
- Master’s or PhD degree in Statistics, Econometrics, Mathematics, Data Science, or a related quantitative discipline.
- Ability to read scientific papers and apply advanced research methods to complex problems.
- Strong communication skills for technical and leadership audiences.
Nice to have
- Experience with marketing measurement or Media Mix Modeling.
- Familiarity with probabilistic programming, such as PyMC.
Culture & Benefits
- Hybrid work model with flexibility to work from home and collaborate in the office.
- 25 days of paid annual leave and a confidential Employee Assistance Program for employees and families.
- Annual learning budget starting at €3,000, plus up to 10 working days over two years for development.
- Share options, pension plan, flexible benefits budget, lunch benefit, and public-transport commute support.
- MacBook, home-office equipment, and up to €540 for home workplace furniture.
- Team-building events, company bike leasing, shopping budget, and a dog-friendly office.
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